Search "+Peter Norvig +Automated machine learning +Class imbalance problem +Travelling salesman problem -Probability, Paradox, and the Reasonable Person Principle +Cross validation +Cluster analysis +Machine learning +Machine learning for healthcare -Data clustering +Jupyter/notebook +Recommender system +Ulrike von Luxburg +IPython notebook +Gradient descent -Neural network"

Positive matches

• 0.118 + - Class imbalance
• 0.033 + - Netflix prize
• 0.027 + - Poker
• 0.025 + - IPython
• 0.021 + - Neuron
• 0.020 + - SSH tunneling
• 0.017 + - Learning
• 0.015 + - Artemy Kolchinsky
• 0.015 + - Future of work
• 0.014 + - Boosting (machine learning)
• 0.014 + - Data science
• 0.013 + - Jupyter
• 0.012 + - Regular expression
• 0.011 + - Python
• 0.011 + - Privacy and Deanonymization
• 0.010 + - scikit-learn
• 0.008 + - Paradox
• 0.008 + - Regex
• 0.007 + - Decision tree
• 0.007 + - Weka

Negative matches

• 0.019 + - Paper/Srivastava2014
• 0.006 + - Jack Terwilliger
• 0.006 + - word2vec
• 0.006 + - Neural Turing machine
• 0.006 + - Liquid state machine
• 0.005 + - Recurrent neural network
• 0.005 + - Dropout
• 0.004 + - Graph embedding
• 0.003 + - Hierarchical softmax
• 0.003 + - sense2vec
• 0.003 + - Ilya Sutskever
• 0.002 + - wiki2vec
• 0.002 + - Skip-gram
• 0.002 + - WordRank
• 0.002 + - Google
• 0.002 + - Attention (Deep learning)
• 0.002 + - Gensim
• 0.001 + - Tomas Mikolov
• 0.001 + - Paper/Levy2014
• 0.001 + - Probability